Comment on “A Conceptual Framework for Quality Healthcare Accessibility: a Scalable Approach for Big Data Technologies”

Paul L. Delamater ()
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Paul L. Delamater: University of North Carolina at Chapel Hill

Information Systems Frontiers, 2018, vol. 20, issue 2, No 9, 303-309

Abstract: Abstract ᅟFloating Catchment Area (FCA) metrics incorporate the supply of health care resources, potential population demand for those resources, and the distance separating people and supply locations to characterize the spatial accessibility of health care resources for populations. In this work, I challenge a number of assertions offered in a recently published FCA-based paper and provide a critique of the authors' proposed metric. Within my critique, I present a number of broad observations and recommendations regarding FCA metrics and their implementation in a Geographic Information System (GIS). In doing so, I aim to initiate a broader discussion of access to health care, spatial accessibility, and FCA metrics that transcends disciplinary boundaries.

Keywords: Geographic information systems; Health care analytics; Health care accessibility; Gravity models (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10796-018-9829-8

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